Ushering In the Age of Digital Transformation: How Big Pharma Can Move Past Static Evidence and Into Living, Interactive Synthesis
Digital transformation has arrived to the field of systematic review, in the form of Nested Knowledge. Nested Knowledge is a comprehensive software platform that transforms the SLR paradigm from static, out-of-date PDFs to dynamic, living, interactive web-based visuals. Nested Knowledge offers a complete solution for SLRs, from search to synthesis. With Nested Knowledge, you get both an AI-enhanced workflow and automatically-generated living evidence libraries.
Navigating the Sea of Knowledge: Assembling your First Review-Worthy Research Question
In just a few short paragraphs, we’ll guide you through the challenging process of assembling a review-worthy research question for your systematic literature review, likening it to the art of charting a course.
Nested-Knowledge, Inc. Welcomes Tomas Philipson as Board Member
Nested Knowledge Welcomes Tomas Philipson as Board Member Nested Knowledge, Inc. is thrilled to announce Dr. Tomas J. Philipson as our newest board member. With a distinguished background in academia, public service, and co-founding Precision HEOR, Tomas brings invaluable expertise to our organization. As the Daniel Levin Professor of Public Policy Studies Emeritus at the University of […]
Not Systematic? That’s Ok!
Any medical researcher can tell you that systematic reviews are hard. It’s not just the difficulty of building out a research question/protocol/search strategy that is intimidating—there is also simply a large burden in screening and extraction to ensure the true comprehensiveness of the studies and data collected. However, not all questions are appropriate for systematic […]
10 Things to Keep in Mind When Setting Up Your First Nest
1. Understand What Nested Knowledge Is and What It Does Before you dive into all that Nested Knowledge (NK) has to offer, you should understand the two-fold nature of the software platform: AutoLit, and Synthesis. AutoLit is the workflow portion, enabling researchers to generate high-quality evidence, like systematic reviews and meta-analyses. Synthesis is the visualization, […]
How will the Inflation Reduction Act Impact Evidence Needs for Pharmaceutical Companies?
The IRA is shaking up how drug companies and insurers set prices. Increasingly, reimbursement is now directly connected to the proven clinical efficacy of therapies. These companies–and their data providers–can take steps now to generate, store, and update evidence to prepare for health technology assessment in the era of the IRA.
Can ChatGPT Do Your Next Systematic Review?
I started where any literature review starts–by trying to construct a Search. I wanted to see if ChatGPT could generate a PubMed query that would yield similar initial search results to a human’s initial search string. I figured it would be easiest to simply try to replicate the initial search from a recently published review conducted by our research team in collaboration with two physicians from Stanford.
New Sources of Recurring Revenue for CROs: A case study from Nested Knowledge
Tech, meet experts. It’s a powerful force multiplier: using Nested Knowledge’s intelligent systematic review and evidence visualization software, experts at a top clinical research organization have built a living evidence library for their client, a leading pharmaceutical company in the diabetes space.
Why You Should Use Tagging Hierarchies?
December 6, 2022 How Nested Knowledge users harmonize data, structure study content, and build expert knowledge into the platform. When reviewing the medical literature, the general set of steps are usually constructed as: Search for studies (on PubMed, Embase, and similar), Screen to include relevant articles (sometimes with multi-step or dual screening methods), Extract data […]
PRISMA Flow Diagram: How publications ‘flow’ through the updated PRISMA 2020 process and chart
The PRISMA Flow Diagram has become a standard part of any systematic review or meta-analysis, and with good reason– it is the most widely accepted method to show the process by which the studies included in a review were included (or excluded). It also shows the different possible steps of a review, different potential sources (from PubMed to ‘expert recommendations’), and the exact reasons you set up to differentiate the wheat from the chaff among the studies you examined.
